About us

Building the next generation of brain analytics.

Our AI powered neuropsychiatry tools decode the brain’s electrical, mood, behavioral and cognitive signatures, going beyond EEG and voice to capture the full spectrum of brain activity.

Our mission

Brain health, continuously measurable and truly actionable.

We envision a world where brain health is no longer limited to episodic tests or subjective impressions. Mindsigns Health™ transforms complex neurophysiological signals into digital biomarkers that help clinicians assess earlier, track recovery, and personalize care.

From real-time signal processing to large-scale cognitive modeling, our platform brings together neuroscience and advanced signal processing to reshape the future of brain health.

Our Stories

ISO 13485 certified

Certified ISO 13485 and 13485EN, at the levels of quality, safety and clinical reliability the field requires.

HIPAA, GDPR and PDPA

Patient data is handled to HIPAA, GDPR and PDPA standards across every deployment, with enterprise-grade protection.

United States and Asia-Pacific

Alongside partnerships with US healthcare providers, we collaborate with institutions across the Asia-Pacific.

Leadership

The minds driving Mindsigns.

Michel Birnbaum

Chief Executive Officer

Michel drives the global strategy and product development while leading clinical collaborations, talent recruitment, and funding efforts. He blends engineering and commercial expertise with a mission to improve outcomes for patients with serious neuropsychiatric disorders.
Dr. Justin H Dauwels

Chief Scientific Officer

Dr Dauwels is the scientific co-founder and led the development of the platform’s scientific foundation, which has resulted in a number of internationally granted patents. He continues to support the scientific evolution of the platform as the company scales globally.
Thibaud Lefevre

Chief Technology Officer

Thibaud leads tech and product, driving the development of the company’s AI stack for brain health. From seizure detection to cognitive monitoring, his work bridges data, design, and clinical care to deliver real-time, objective, and scalable solutions.
Benoit Delacrose

Chief Inf. & Security Officer

Benoit covers infrastructure management on AWS, the certification process for ISO 13485, and security pentest analysis, fix design and implementation. He also leads regular internal audits on security and processes.
Victoria Chua

Mental Health Product Lead

Victoria leads research and design of digital tools that track mental health symptoms and support behaviour change. She works with clinicians and engineers to create evidence-based, user-centred solutions through UX design and data insight.

Operations

The people who ship it.

Eliisa Juntunen

Lead Software Developer

Eliisa leads software development, guiding both mobile and web platforms across the full stack. Involved in every aspect of solutions, she ensures our technology delivers meaningful, real-world health impact.
Ahla Lotti

Mental Health Product Team

Ahla consults on product development and clinical translation, using her background to design and deliver effective digital health interventions. Her work bridges gaps in healthcare by combining user behavior insights with practical, scalable solutions for patient care.
Kevin Loh

Digital Marketing & Social Media

Kevin graduated from NYU Tisch’s Film program and has three years of digital marketing and media experience. He works to promote our message and mission on new and existing platforms, with accessible content targeting businesses and consumers alike.
Florent Delerue

Software Development Engineer

Florent develops secure, scalable, and user-focused web and mobile applications. He works across engineering, product, and design to turn complex requirements into reliable digital solutions and support the company’s ongoing technical development.
Solana Fernandez

Algorithm & Product Development, Mental Health Team

Solana develops data-driven methods for analyzing behavioral and mental health data across the GenMind™ platform. Her background in bioengineering and machine learning, including graduate research using NLP and large language models with clinical data, supports the development of meaningful digital health tools.